#Music for today << https://www.youtube.com/watch?v=P9dpTTpjymE >> Do you even like calculus if you don't like music? #derivation #differentiation #calculus #nomxd #Music🐾
Problem was flakeRoot = "${inputs.self}" in #rust #derivation in flake caused the rust code to swallow whole flake anew for any flake file change, even changes completely unrelated to the rust code, meaning a whole rebuild. Changed that to a find_flake_dir() function that discovers flake directory by walking up if FLAKE_DIR environment variable is not set.
Took time down from always 22 mins, to 2 mins 20 sec for a minor nix fix rebuild. Ta #Claudeai #buildtime #buildtimes #nix #nixos
#flake
In a #nixos #build and #switch of a #flake, my entire #rust #derivation ( which is just a program in the flake ) gets built meaning that it takes eons: even if the change to the flake that made the build necessary was a trivial change to a thing that has no interaction with the rust derivation. What am I doing wrong? Thanks for any pointers... #flakes #buildtime #buildtimes
🎩✨ "Nix #Derivation Madness": Farid dives deep into the labyrinth of #Nix, only to find himself confounded yet again by its whimsically impenetrable logic. πŸ€―πŸ” Spoiler: He discovers the #Ruby #interpreter is neither buildable nor runnable, as if the code itself is taunting him with a mischievous "you're not worthy" laugh. πŸ˜‚πŸ”„
https://fzakaria.com/2025/10/29/nix-derivation-madness #Madness #Nix #Coding #Challenges #Tech #Humor #HackerNews #ngated
Nix derivation madness

I’ve written a bit about Nix and I still face moments where foundational aspects of the package system confounds and surprises me.

Farid Zakaria’s Blog
Nix derivation madness

I’ve written a bit about Nix and I still face moments where foundational aspects of the package system confounds and surprises me.

Farid Zakaria’s Blog
#reticulum #rns in #nixos
A beta #flake that installs (amongst other things) #meshchat #reticulummeshchat and #nomadnet
https://codeberg.org/adingbatponder/reticulum_nixos_flake
#derivation #nixospackages
The flake was hammered out using chatGPT iteratively from a non-AI base flake. #reticulumnetworkstack #reticulumnetwork
See my take on the context and Why NixOS here: https://www.loramesh.org/#nixos

A #nixos #flake that builds a #derivation that #package & install #nomadnet 0.1.0 & #meshchat 1.1.0 from #github python source code. For #reticulum #network. This is a beta work in progress, done using chatGPT iteratively, and is my first attempt at packaging something for nixos. Time will tell if this holds up. Uses python #setuptools & #buildPythonPackage
#lxmf ver 0.8.0
#rns ver 1.0.0 https://codeberg.org/adingbatponder/reticulum_nixos_flake

#nixospackages This is experimental and beta - see readme file for issues

If using #postPatch , in a #nixOS #flake , to tweak the python code, from a #repository, that is used in the #build performed by a #derivation to #package code, the role of #spaces and #indents in #python make the process total and utter agony. #packaging #nixospackages
Derivation and Intuition behind Poisson distribution | Notion

Cutting out all the bs, let's jump on deriving the Poisson distribution in an intuitive way using a simple example, applying the concepts of Bernoulli's distribution, the Binomial theorem, L'HΓ΄pital's rule and Taylor Series. A classic way to approach this is by considering the probability of observing a certain number of rare events occurring in a fixed interval of time or space, with these events occurring independently and at a constant average rate.

antaripasaha on Notion
mkDerivation 인자둜 ν•¨μˆ˜λ₯Ό λ„˜κΈ°λŠ” 이유

NixOS.kr λ””μŠ€μ½”λ“œμ— μ˜¬λ ΈλŠ”λ°, λ‹€λ₯Έ λΆ„λ“€μ˜ μ˜κ²¬μ„ 듀어보렀고 ν•΄μ»€μŠ€νŽμ—λ„ μ˜¬λ¦½λ‹ˆλ‹€. λ‹‰μŠ€ κ²½ν—˜μ΄ λ§Žμ§€ μ•Šμ€ μ‚¬λžŒμ˜ κΈ€μ΄λ‹ˆ, μ •ν™•ν•˜μ§€ μ•Šμ„ 수 μžˆμŠ΅λ‹ˆλ‹€. ν‹€λ¦° 곳이 있으면 λ°”λ‘œ μ•Œλ €μ£Όμ„Έμš”. β€» λ‹‰μŠ€λ₯Ό 처음 μ ‘ν•˜λŠ” λΆ„λ“€μ΄λ‚˜, λ‹‰μŠ€λ‘œ μ‹€μš©μ μΈ 업무λ₯Ό ν•˜μ‹œλŠ”λ° λ¬Έμ œκ°€ μ—†λŠ” λΆ„λ“€ν•œν…ŒλŠ” μ λ‹Ήν•œ 글은 μ•„λ‹™λ‹ˆλ‹€. μ„œλ‘μ— 읽으면 도움이 λ λ§Œν•œ 뢄듀을 μΆ”λ €μ„œ μ•Œλ € λ“œλ¦¬λ €κ³  ν•˜λ‹ˆ, μ˜μ™Έλ‘œ ν•„μš”ν•œ 뢄듀이 μ—†κ² μŠ΅λ‹ˆλ‹€. μ‹€λ¬΄μžλ“€μ€ μ΄λ ‡κ²ŒκΉŒμ§€ νŒŒκ³ λ“€λ©° μ•Œ ν•„μš” μ—†κ³ , λ‹‰μŠ€ κ°œλ°œμžλ“€μ΄μ•Ό λ‹Ήμ—°νžˆ μ•„λŠ” λ‚΄μš©μΌν…Œκ³ , μž…λ¬Έμž 뢄듀도 μ—­μ‹œ 이런 λ‚΄μš©μœΌλ‘œ μ–΄λ ΅λ‹€λŠ” 인식을 κ°–κ³  μ‹œμž‘ν•  ν•„μš”λŠ” μ—†μœΌλ‹ˆκΉŒμš”. 그럼 남은 건 ν•˜λ‚˜λ„€μš”. mkDerivation λ™μž‘μ„ 이미 μ•„λŠ” λΆ„λ“€μ˜ 킬링 νƒ€μž„μš©μ΄ λ˜κ² μŠ΅λ‹ˆλ‹€.<μ™Έκ΅­μ–΄λ₯Ό 읡힐 λ•Œ, 문법없이 μ‹€μ „κ³Ό λΆ€λ”ͺ히며 λ°°μš°λŠ” 방법이 더 μ’‹κΈ°λŠ” ν•œλ°, 가끔은 문법을 λ”°λ‘œ 보기 μ „μ—” λ„˜κΈ° νž˜λ“  것듀이 μžˆμŠ΅λ‹ˆλ‹€. λ‹‰μŠ€λž€ μ™Έκ΅­μ–΄λ₯Ό μ΅νžˆλŠ”λ°λ„ μ‹€μ œ μ„€μ • νŒŒμΌμ„ 많이 λ³΄λŠ” 것이 μš°μ„ μ΄μ§€λ§Œ, 가끔 "문법"을 짚고 λ„˜μ–΄κ°€λ©΄ 도움이 λ˜λŠ” 것듀이 μžˆμŠ΅λ‹ˆλ‹€. λ‹‰μŠ€ μ•Œμ•½ (제λͺ©μ΄ μž¬λ°Œλ„€μš”. μ•Œμ•½) 글을 보면 mkDerivation이 속성 집합을 λ°›μ•„, 거기에 stdenv λ“± 기본적인 것을 μΆ”κ°€ν•œ 속성 집합을 λ§Œλ“€μ–΄ derivaition ν•¨μˆ˜μ— λ„˜κΈ°λŠ” κ°„λ‹¨ν•œ λž˜ν•‘ ν•¨μˆ˜μž„μ„ μ§κ΄€μ μœΌλ‘œ 잘 μ„€λͺ…ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. 그런데, μ‹€μ œ μ‚¬μš© μ˜ˆμ‹œλ“€μ„ λ§Œλ‚˜λ©΄, mkDerivation에 속성 집합을 λ„˜κΈ°μ§€ μ•Šκ³ , attr: {...} ν˜•νƒœμ˜ ν•¨μˆ˜λ₯Ό λ„˜κΈ°λŠ” 경우λ₯Ό 더 자주 λ§Œλ‚©λ‹ˆλ‹€. κ·Έλž˜μ„œ, μ™œ κ·ΈλŸ¬λŠ”μ§€ μ‹€μ œ κ΅¬ν˜„ μ½”λ“œλ₯Ό 보고 이유λ₯Ό μ°Ύμ•„ λ΄€μŠ΅λ‹ˆλ‹€. mkDerivation = fnOrAttrs: if builtins.isFunction fnOrAttrs then makeDerivationExtensible fnOrAttrs else makeDerivationExtensibleConst fnOrAttrs;<mkDerivation의 μ •μ˜λ₯Ό 보면 인자둜 ν•¨μˆ˜λ₯Ό λ°›μ•˜λŠλƒ μ•„λ‹ˆλƒμ— λ”°λ₯Έ λ™μž‘μ„ λΆ„κΈ°ν•©λ‹ˆλ‹€. λ‹¨μˆœνžˆ, stdenvμ—μ„œ κ°€μ Έμ˜¨ 속성듀을 μΆ”κ°€ν•œλ‹€λ©΄, ν•¨μˆ˜λ₯Ό 인자둜 λ°›μ§€ μ•Šμ•„λ„ 속성 집합을 λ³‘ν•©ν•΄μ£ΌλŠ” //의 λ™μž‘λ§Œ μžˆμ–΄λ„ μΆ©λΆ„ν•©λ‹ˆλ‹€.{ a = 1; } // { b = stdenv.XXX; }<ν•˜μ§€λ§Œ, ν•¨μˆ˜λ‘œ λ°›λŠ” 이유λ₯Ό 찾으면, μ½”λ“œκ°€ λ‹¨μˆœν•˜μ§€ μ•ŠμŠ΅λ‹ˆλ‹€. μ•„λž˜λŠ” ν•¨μˆ˜λ₯Ό 받을 λ•Œ λ™μž‘ν•˜λŠ” μ‹€μ œ κ΅¬ν˜„ 일뢀λ₯Ό κ°€μ Έ μ™”μŠ΅λ‹ˆλ‹€.makeDerivationExtensible = rattrs: let args = rattrs (args // { inherit finalPackage overrideAttrs; }); ...<전체λ₯Ό 보기 전에 일단 argsμ—μ„œλΆ€ν„° 머리가 μ’€ λ³΅μž‘ν•΄μ§‘λ‹ˆλ‹€. argsκ°€ argsλ₯Ό μž¬κ·€ μ°Έμ‘°ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. 보톡 rattrs 맀개 λ³€μˆ˜λ‘œλŠ” μ•„λž˜μ™€ 같은 ν•¨μˆ˜λ“€μ΄ λ“€μ–΄ μ˜΅λ‹ˆλ‹€.stdenv.mkDerivation (finalAttrs: { pname = "timed"; version = "3.6.23"; ... tag = finalAttrs.version;}<(와, ν•΄μ»€μŠ€νŽμ€ μ½”λ“œ 블둝에 ANSIκ°€ λ¨ΉμŠ΅λ‹ˆλ‹€! μ§€μ›ν•˜λŠ” 곳듀이 λ“œλ¬Έλ°μš”.)μ½”λ“œλ₯Ό λ°”λ‘œ λΆ„μ„ν•˜κΈ° 전에, λ‹‰μŠ€μ˜ μž¬κ·€ λ™μž‘μ„ λ¨Όμ € 보면 μ’‹μŠ΅λ‹ˆλ‹€.<μž¬κ·€ 생각 슀트레칭nix-repl> let r = {a = 1; b = a;}; in rerror: undefined variable 'a'<μœ„ λ™μž‘μ€ 였λ₯˜μ§€λ§Œ, μ•„λž˜μ²˜λŸΌ recλ₯Ό λ„£μ–΄μ£Όλ©΄ κ°€λŠ₯ν•©λ‹ˆλ‹€.nix-repl> let r = rec {a = 1; b = a;}; in r { a = 1; b = 1; }<β€» recλ™μž‘μ€ Lazy μ–Έμ–΄μ˜ fix둜 μž¬κ·€λ₯Ό κ΅¬ν˜„ν•˜λŠ” λ™μž‘μž…λ‹ˆλ‹€. β€» μ°Έκ³  Fix ν•¨μˆ˜ recλ₯Ό μ¨μ„œ 속성 μ•ˆμ— μ •μ˜ 쀑인 속성에 μ ‘κ·Όν•  수 μžˆμŠ΅λ‹ˆλ‹€. 그런데, μ•„λž˜ 같이 속성을 r.a 둜 μ ‘κ·Όν•˜λ©΄, rec 없이도 κ°€λŠ₯ν•΄μ§‘λ‹ˆλ‹€.nix-repl> let r = {a = 1; b = r.a;}; in r{ a = 1; b = 1; }<λ‹‰μŠ€ μ–Έμ–΄μ˜ Lazyν•œ νŠΉμ„± λ•Œλ¬Έμ— κ°€λŠ₯ν•©λ‹ˆλ‹€.<이제, μ›λž˜ λ¬Έμ œμ™€ λΉ„μŠ·ν•œ λͺ¨μ–‘μœΌλ‘œ λ„˜μ–΄κ°€ λ³΄κ² μŠ΅λ‹ˆλ‹€. μ•„λž˜κ°™μ€ ν˜•νƒœλ‘œ λ°”λ‘œ 자기 μžμ‹ μ— μž¬κ·€μ μœΌλ‘œ μ ‘κ·Όν•˜λ©΄ λ¬΄ν•œ μž¬κ·€ μ—λŸ¬κ°€ λ‚˜μ§€λ§Œ,nix-repl> let x = x + 1; in x error: infinite recursion encountered<μ•„λž˜μ²˜λŸΌ λžŒλ‹€ ν•¨μˆ˜μ— 인자둜 λ„˜κΈ°λ©΄ μ–˜κΈ°κ°€ λ‹¬λΌμ§‘λ‹ˆλ‹€.nix-repl> let args = (attr: {c = 1; b = attr.a + attr.c + 1;}) (args // { a = 1; }); in args{ b = 3; c = 1; }<μ—¬κΈ°μ„œ 속성b의 μ •μ˜ λ™μž‘μ΄ μ€‘μš”ν•©λ‹ˆλ‹€.attr: { c = 1; b = attr.a + attr.c + 1; }<속성 bλŠ” 아직 μ•Œ 수 μ—†λŠ”, 미래의 attr에 μžˆλŠ” aλ₯Ό λ°›μ•„ 써먹고,μ›λž˜λŠ” rec없이 μ ‘κ·Όν•˜μ§€ λͺ»ν–ˆλ˜, c에도 attr.c둜 접근이 κ°€λŠ₯ν•©λ‹ˆλ‹€. μ›λž˜ 문제둜 λ‹€μ‹œ μ„€λͺ…ν•˜λ©΄, mkDerivation에 λ„˜κΈ°κ³  μžˆλŠ”, μ‚¬μš©μž ν•¨μˆ˜ finalAttrs: { ... }μ—μ„œ,λ‹‰μŠ€ μ‹œμŠ€ν…œμ΄ λ„£μ–΄μ£ΌλŠ” stdenv κ°’ 같은 것듀과 μ‚¬μš©μž ν•¨μˆ˜λ‚΄μ˜ 속성듀을 μ„žμ–΄μ„œ 속성 μ •μ˜λ₯Ό ν•  수 μžˆλ‹€λŠ” μ–˜κΈ°μž…λ‹ˆλ‹€. μ•„λž˜μ²˜λŸΌ λ§μž…λ‹ˆλ‹€. tag = finalAttrs.version;<λ­ν•˜λŸ¬, 이런 λ³΅μž‘ν•œ κ°œλ…μ„ μ“°λŠ”κ°€ ν•˜λ©΄, λ‹¨μˆœνžˆ 속성 μΆ”κ°€κ°€ μ•„λ‹ˆλΌ, κΈ°μ‘΄ 속성이 μ•žμœΌλ‘œ μΆ”κ°€ 될 속성을 기반으둜 μ •μ˜λ˜μ–΄μ•Ό ν•  λ•ŒλŠ” μ΄λ ‡κ²Œ ν•΄μ•Όλ§Œ ν•©λ‹ˆλ‹€. ν•¨μˆ˜ν˜• 언어에선 자주 λ³΄μ΄λŠ”, λ―Έλž˜κ°’μ„ κ°€μ Έλ‹€ μ“°λŠ” μž¬κ·€ νŒ¨ν„΄μΈλ°, μ €λŠ” 아직 그리 μ΅μˆ™ν•˜μ§„ μ•ŠμŠ΅λ‹ˆλ‹€.

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